Title: Searchable symmetric encryption based on the inner product for cloud storage

Authors: Jun Yang; Shujuan Li; Xiaodan Yan; Baihui Zhang; Baojiang Cui

Addresses: National Engineering Laboratory for Mobile Network Security, School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, P.R. China ' National Engineering Laboratory for Mobile Network Security, School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, P.R. China ' National Engineering Laboratory for Mobile Network Security, School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, P.R. China ' National Engineering Laboratory for Mobile Network Security, School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, P.R. China ' National Engineering Laboratory for Mobile Network Security, School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, P.R. China

Abstract: Searchable encryption enables the data owner to store their own data after encrypting them in the cloud. Searchable encryption also allows the client to search over the data without leaking any information about it. In this paper, we first introduce a searchable symmetric encryption scheme based on the inner product: it is more efficient to compute the inner product of two vectors. In our construction, the parties can be data owners, clients or the cloud server. Three parties communicate with each other through the inner product to achieve the goal that client can search the data in cloud without leaking any information on the data the owner stored in the cloud. We then perform a security analysis and performance evaluation, which show that our algorithm and construction are secure and efficient.

Keywords: inner product; searchable encryption; searchable symmetric encryption; security; the cloud server.

DOI: 10.1504/IJWGS.2018.088393

International Journal of Web and Grid Services, 2018 Vol.14 No.1, pp.70 - 87

Received: 22 Jan 2016
Accepted: 12 Jul 2016

Published online: 05 Dec 2017 *

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